- Key trends reshaping clinical data management and how leading teams are responding
- Looking at the biggest operational and technology challenges and overviewing practical solutions
- What to expect over the next 3–5 years and how to stay ahead in capability, speed, and quality
- Defining agentic AI and its capabilities to understand how it works and how it differs from automation and traditional rule-based workflows
- Understanding where it fits in regulated clinical environments and how it could be used to enhance clinical processes
- Evaluating real-world use cases and identifying actionable opportunities to scale and apply Agentic AI in data teams
- Identifying where AI can enhance clinical trial processes for rare disease programs
- Overviewing common challenges when introducing AI to clinical processes
- Successfully implementing AI within teams to avoid delays and implementation challenges
- FDA Critical Path Initiative
- Critical Path Institute and FDA biomarker qualification
- Biomarkers as drug development tools in rare disease
